Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) in Malaysia
Malaysia: Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) was 0.6842 approx. -2.5 to +2.5 in 2025. ▲ Rising
Regulatory Quality - Governance estimate in Malaysia, 1996–2025
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
In 2025, regulatory quality - governance estimate in Malaysia stood at 0.6842 approx. -2.5 to +2.5.
The figure is up 7.8% on the previous year and down 12.7% over ten years.
Over the whole period, regulatory quality - governance estimate in Malaysia peaked at 0.8854 approx. -2.5 to +2.5 in 2014 and was at its lowest, 0.3387 approx. -2.5 to +2.5, in 2000.
That places Malaysia 44th out of 206 countries with data for 2025, putting it in the top quarter.
The long-run direction has been consistently rising across the 27 years of available data.
Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) in Malaysia, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | 0.462 approx. -2.5 to +2.5 | — |
| 1998 | 0.3534 approx. -2.5 to +2.5 | -23.5% |
| 2000 | 0.3387 approx. -2.5 to +2.5 | -4.2% |
| 2002 | 0.4986 approx. -2.5 to +2.5 | +47.2% |
| 2003 | 0.6545 approx. -2.5 to +2.5 | +31.3% |
| 2004 | 0.5174 approx. -2.5 to +2.5 | -20.9% |
| 2005 | 0.5222 approx. -2.5 to +2.5 | +0.9% |
| 2006 | 0.6275 approx. -2.5 to +2.5 | +20.2% |
| 2007 | 0.665 approx. -2.5 to +2.5 | +6.0% |
| 2008 | 0.5763 approx. -2.5 to +2.5 | -13.3% |
| 2009 | 0.4765 approx. -2.5 to +2.5 | -17.3% |
| 2010 | 0.6159 approx. -2.5 to +2.5 | +29.3% |
| 2011 | 0.5074 approx. -2.5 to +2.5 | -17.6% |
| 2012 | 0.7439 approx. -2.5 to +2.5 | +46.6% |
| 2013 | 0.8491 approx. -2.5 to +2.5 | +14.1% |
| 2014 | 0.8854 approx. -2.5 to +2.5 | +4.3% |
| 2015 | 0.7835 approx. -2.5 to +2.5 | -11.5% |
| 2016 | 0.7486 approx. -2.5 to +2.5 | -4.5% |
| 2017 | 0.7917 approx. -2.5 to +2.5 | +5.8% |
| 2018 | 0.7582 approx. -2.5 to +2.5 | -4.2% |
| 2019 | 0.7655 approx. -2.5 to +2.5 | +1.0% |
| 2020 | 0.6591 approx. -2.5 to +2.5 | -13.9% |
| 2021 | 0.7622 approx. -2.5 to +2.5 | +15.6% |
| 2022 | 0.6794 approx. -2.5 to +2.5 | -10.9% |
| 2023 | 0.6009 approx. -2.5 to +2.5 | -11.6% |
| 2024 | 0.6346 approx. -2.5 to +2.5 | +5.6% |
| 2025 | 0.6842 approx. -2.5 to +2.5 | +7.8% |
Malaysia compared with similar countries
- Malaysia's 0.6842 approx. -2.5 to +2.5 is above the median for upper middle income countries, which is -0.0934 approx. -2.5 to +2.5. (59 countries reporting)
- Malaysia's 0.6842 approx. -2.5 to +2.5 is above the median for East Asia & Pacific, which is -0.0624 approx. -2.5 to +2.5. (34 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.4077 approx. -2.5 to +2.5 | 0.3534 approx. -2.5 to +2.5 | 0.462 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.5419 approx. -2.5 to +2.5 | 0.3387 approx. -2.5 to +2.5 | 0.665 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.7449 approx. -2.5 to +2.5 | 0.5074 approx. -2.5 to +2.5 | 0.8854 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.6701 approx. -2.5 to +2.5 | 0.6009 approx. -2.5 to +2.5 | 0.7622 approx. -2.5 to +2.5 | 6 |
Countries ranked near Malaysia
- 42 Poland 0.7887 approx. -2.5 to +2.5 compare
- 43 Oman 0.6927 approx. -2.5 to +2.5 compare
- 45 Cayman Islands 0.6727 approx. -2.5 to +2.5 compare
- 46 Saudi Arabia 0.6695 approx. -2.5 to +2.5 compare
- 47 Slovenia 0.6605 approx. -2.5 to +2.5 compare
More reference data data for Malaysia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7102 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.5869 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1487 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.38 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.64 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 21.1 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8098 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in Malaysia?
- Regulatory quality - governance estimate in Malaysia was 0.6842 approx. -2.5 to +2.5 in 2025, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest regulatory quality - governance estimate recorded in Malaysia?
- The highest recorded value was 0.8854 approx. -2.5 to +2.5 in 2014.
- What is the lowest regulatory quality - governance estimate recorded in Malaysia?
- The lowest recorded value was 0.3387 approx. -2.5 to +2.5 in 2000.
- How does Malaysia rank for regulatory quality - governance estimate?
- Malaysia ranks 44th out of 206 countries with data for 2025.
- Is regulatory quality - governance estimate rising or falling in Malaysia?
- Over the last ten years it is down 12.7%. The long-run trend across the full record is rising.
- Where does this Malaysia data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 27 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.